AI+ Prompt Engineer Level 2
The AI+ Prompt Engineer : Level 2 course explores advanced strategies for prompt engineering, including multi-turn interactions, contextual techniques, and optimization tools. Participants gain a deep understanding of creating effective, domain-specific prompts while integrating them into cutting-edge AI applications. The course bridges theoretical knowledge with practical applications in AI development.
All students receive:
- One-Year Subscription (with all updates)
- High-Quality E-Book
- Al Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Exam Study Guide
- Proctored Exam with one Free Retake
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
Train face-to-face with the live instructor.
Access to on-demand training content anytime, anywhere.
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.
All Sunset Learning dates are guaranteed to run!
Register
Prerequisites:
Required:
- Basic knowledge of RESTful services and API interactions.
- Basic understanding of AI concepts and language models.
Recommended:
- Familiarity with at least one programming language (Python recommended).
Target Audience:
- AI Engineer
- IT Professional
Course Objectives:
- Analyze and apply effective principles for crafting and optimizing prompts.
- Design advanced prompts for multi-turn interactions, contextual/conditional scenarios, and domain-specific use cases.
- Implement stateful and role-based prompt engineering strategies for adaptive and impactful AI solutions.
- Leverage meta-prompting and autonomous refinement techniques to enhance AI-driven interactions.
- Optimize prompts using automated tools, A/B testing, and reinforcement learning approaches.
- Seamlessly integrate prompts with development tools, repositories, and version control systems.
- Explore innovative applications of prompt engineering across domains such as NLP, business, and creative industries.
- Solve real-world challenges through hands-on projects in AI-driven customer support, personalized content creation, and data analysis.
Course Outline:
Introduction to Prompt Engineering for Developers
- Overview of Prompt Engineering
- Basics of API Interaction
- Understanding Prompt Structures
- Case Studies and Best Practices
- Hands-on Exercise
Advanced Prompt Design and Engineering
- Designing Advanced Prompt Techniques
- Designing Multi-Turn Interactions
- Contextual and Conditional Prompting
- Crafting Domain-Specific Prompts
- Contextual and Stateful Prompt Engineering
- Meta-Prompting and Autonomous Refinement
- Hands-on Exercise
Experimentation and Optimization
- Automated Prompt Optimization Tools
- A/B Testing and Evaluation
- Reinforcement Learning for Prompt Engineering
Designing Advanced Strategies for Prompt Engineering
- Contextual and Role-Based Prompting
- Adaptive and Multimodal Prompting
Integration with Development Tools
- Integrating with Popular Development Tools for Prompt Engineering
- Code Repositories and Templates for Prompt Engineering
- Developer Communities and Forums for Prompt Engineering
- Version Control in Prompt Engineering Projects